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Interactive effect of TLR SNPs and exposure to sexually transmitted infections on prostate cancer risk in Jamaican men
Author(s) -
Dubey Bhawna,
Jackson Maria,
ZeiglerJohnson Charnita,
Devarajan Karthik,
FloresObando Rafael E,
McFarlaneAnderson Norma,
TullochReid Marshall,
Aiken William,
Kimbro Kevin,
Reed Dominique,
Kidd LaCreis R.,
Gibbs Denise,
Kumar Sudhir,
Ragin Camille
Publication year - 2020
Publication title -
the prostate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.295
H-Index - 123
eISSN - 1097-0045
pISSN - 0270-4137
DOI - 10.1002/pros.24067
Subject(s) - odds ratio , medicine , single nucleotide polymorphism , prostate cancer , genotype , confidence interval , population , logistic regression , case control study , oncology , demography , cancer , gynecology , genetics , biology , gene , environmental health , sociology
Background Prostate cancer (PC) risk increases with African ancestry and a history of sexually transmitted infections (STIs). Also, single‐nucleotide polymorphisms (SNPs) in toll‐like receptor (TLR) genes influence PC risk. This pilot study explores interactions between STIs and TLR‐related SNPs in relation to PC risk among Jamaican men. Methods This case‐control study evaluates two TLR related SNPs in 356 Jamaican men (194 controls and 162 cases) with or without history of STIs using stepwise penalized logistic regression in multivariable analyses. Results Age (odds ratio [OR] = 1.08; 95% confidence interval [CI]: 1.04–1>.12; p < .001) and IRF3_rs2304206 GG genotype (OR = 0.47; 95% CI: 0.29–0<.78; p = .003) modulated PC risk in people with history of STIs. In the population with no history of STIs, resulting interactions between risk factors did not survive correction for multiple hypothesis testing. Conclusion Overall, an interaction between the IFR3_rs2304206 variant and a history of exposure to STIs leads to greater decrease of PC risk than the presence of polymorphic genotype alone. These findings are suggestive and require further validation. Identification of gene variants along with detection of lifestyle behaviors may contribute to identification of men at a greater risk of PC development in the population.